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Connectivity - Based Clustering of GDP Time Series

Author

Listed:
  • Eugen Scarlat

    (Polytechnic University Bucharest, Applied Sci. Physics Dept.)

Abstract

The paper presents an alternative connectivity relationship in the form of band limited, sub-quarterly time shifts between quarterly sampled series of the variations of the gross domestic product (GDP). Eight groups around the GDP were identified, expressed in the most powerful European currencies, the Euro (EUR), the Swiss Franc (CHF), and the Great Britain Pound (GBP). The findings allow for building time maps with daily resolutions that endorse the deterministic perspective of the chronological spread of financial fluctuations generated by bilateral trades. The German GDP seems to impose the timing of the aggregated GDP of the Eurozone-12. The method is helpful to detect time delays between processes in the range of 2-4Q, so that knowing the sense and the magnitude of the movements in the advanced series might indicate the trends in the delayed one, or to lay the input variables in correct time positions in multivariate autoregressive lag models or in mixed frequency models.

Suggested Citation

  • Eugen Scarlat, 2016. "Connectivity - Based Clustering of GDP Time Series," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 23-38, March.
    • Handle: RePEc:rjr:romjef:v::y:2016:i:1:p:23-38
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    References listed on IDEAS

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    1. Frankel, Jeffrey A & Rose, Andrew K, 1998. "The Endogeneity of the Optimum Currency Area Criteria," Economic Journal, Royal Economic Society, vol. 108(449), pages 1009-1025, July.
    2. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    3. M. Gligor & M. Ausloos, 2008. "Clusters in weighted macroeconomic networks: the EU case. Introducing the overlapping index of GDP/capita fluctuation correlations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(4), pages 533-539, June.
    4. Dedu, Vasile & Mihai, Irina & Neagu, Florian, 2010. "Trends of the Contagion Risk in Sovereign Spreads for Emerging European Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 265-279, July.
    5. Fabio Fornari & Livio Stracca, 2012. "What does a financial shock do? First international evidence [Financial intermediaries, financial stability and monetary policy]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 27(71), pages 407-445.
    6. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    7. Pauna, Carmen Beatrice & Chilian, Mihaela Nona & Diaconescu, Tiberiu, 2014. "Transnational Clusters - Consequences of International Trade; Case Study of the Adriatic-Danube Region," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 100-114, June.
    8. Miśkiewicz, Janusz & Ausloos, Marcel, 2010. "Has the world economy reached its globalization limit?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 797-806.
    9. Haroon Mumtaz & Saverio Simonelli & Paolo Surico, 2011. "International Comovements, Business Cycle and Inflation: a Historical Perspective," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 176-198, January.
    10. Maharaj, Elizabeth Ann & D’Urso, Pierpaolo, 2010. "A coherence-based approach for the pattern recognition of time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3516-3537.
    11. Redelico, Francisco O. & Proto, Araceli N. & Ausloos, Marcel, 2009. "Hierarchical structures in the Gross Domestic Product per capita fluctuation in Latin American countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3527-3535.
    12. Ausloos, M. & Lambiotte, R., 2007. "Clusters or networks of economies? A macroeconomy study through Gross Domestic Product," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 16-21.
    13. Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A Measure Of Comovement For Economic Variables: Theory And Empirics," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 232-241, May.
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    More about this item

    Keywords

    time shift; cluster; time map; bilateral trade; financial fluctuations;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions

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